A Local √3-Subdivision Algorithm preserving Sharp Features

Author

Yu, Ruiguo ; Liu, Zeyi ; Liu, Ying

Author_Institution

Sch. of Comput. Sci. & Technol., Tianjin Univ.

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

6

Abstract

A local √3-subdivision algorithm to rebuild sharp features is presented. Adaptive subdivision is performed only in the areas facing to the viewpoint in the pre-process. And in each adaptive subdivision, we choose the normal angle Θ of the adjacent faces as the control error to detect whether or not the approximation is sufficient. Sharp edges are automatically tagged according to the given threshold Θ and subdivision masks are designed based on different sharp degrees. Experimental results indicate that the algorithm requires less memory but keeps sharp features better

Keywords

edge detection; feature extraction; adaptive subdivision algorithm; sharp degree; sharp edge; sharp feature; subdivision mask; Adaptive control; Automatic control; Computational efficiency; Computer graphics; Computer science; Educational institutions; Error correction; Face detection; Programmable control; Topology; √3 -subdivision; adaptive subdivision; sharp degree; sharp feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0341-3

Electronic_ISBN

1-4214-042-1

Type

conf

DOI

10.1109/ICARCV.2006.345125

Filename

4150035